Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making

A Neural Implementation of Wald’s Sequential Probability Ratio Test

(2015) Shinichiro Kira et al.   NEURON

Optimal multisensory decision-making in a reaction-time task

(2014) Jan Drugowitsch et al.   eLife

A neural mechanism of speed-accuracy tradeoff in macaque area LIP

(2014) Timothy Hanks et al.   eLife

Decoupling speed and accuracy in an urgent decision-making task reveals multiple contributions to their trade-off

(2014) Emilio Salinas et al.   Frontiers in Neuroscience

Changes in Neural Connectivity Underlie Decision Threshold Modulation for Reward Maximization

(2012) N. Green et al.   JOURNAL OF NEUROSCIENCE

The Cost of Accumulating Evidence in Perceptual Decision Making

(2012) J. Drugowitsch et al.   JOURNAL OF NEUROSCIENCE

Neural Mechanisms of Speed-Accuracy Tradeoff

(2012) Richard P. Heitz et al.   NEURON

Acquisition of decision making criteria: reward rate ultimately beats accuracy

(2011) Fuat Balci et al.   Attention Perception & Psychophysics

Robust versus optimal strategies for two-alternative forced choice tasks

(2010) M. Zacksenhouse et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Reward rate optimization in two-alternative decision making: Empirical tests of theoretical predictions.

(2009) Patrick Simen et al.   JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE

Do humans produce the speed–accuracy trade-off that maximizes reward rate?

(2009) Rafal Bogacz et al.   QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY

Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex

(2009) R. Kiani et al.   SCIENCE

Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment

(2008) R. Kiani et al.   JOURNAL OF NEUROSCIENCE

Decision-making with multiple alternatives

(2008) Anne K Churchland et al.   NATURE NEUROSCIENCE

The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

(2007) Roger Ratcliff et al.   NEURAL COMPUTATION